Browsing Trinity Business School (Scholarly Publications) by Subject "Prediction"
Now showing items 1-2 of 2
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Prediction-oriented model selection in partial least squares path modeling
(2018)Partial least squares path modeling (PLS‐PM) has become popular in various disciplines to model structural relationships among latent variables measured by manifest variables. To fully benefit from the predictive capabilities ... -
SEMinR: Domain-specific language for building, estimating, and visualizing structural equation models in R
(The Comprehensive R Archive Network, 2021)SEMinR allows researchers to easily create, estimate, and visualize structural equation models (SEMs) for multiple estimation methods. SEMs are popular modeling techniques in social sciences and the life sciences, and ...